



'''simple docstring'''


def   SCREAMING_SNAKE_CASE					(					lowercase_     :   str    ):
						lowercase   =				generate_pascal_triangle(UpperCamelCase_    )
						for row_idx in range(UpperCamelCase_    ):
												# Print left spaces
												for _ in range(num_rows - row_idx - 1    ):
																		print(end=""" """    )
												# Print row values
												for col_idx in range(row_idx + 1    ):
																		if col_idx != row_idx:
																								print(triangle[row_idx][col_idx]			,	end=""" """    )
																		else:
																								print(triangle[row_idx][col_idx]			,	end=""""""    )
												print()







def   SCREAMING_SNAKE_CASE					(					lowercase_     :   Any    ):

						if not isinstance(UpperCamelCase_			,	UpperCamelCase_    ):
												raise TypeError("""The input value of 'num_rows' should be 'int'"""    )

						if num_rows == 0:
												return []
						elif num_rows < 0:
												raise ValueError(
												    """The input value of 'num_rows' should be greater than or equal to 0"""    )

						lowercase   =				[]
						for current_row_idx in range(UpperCamelCase_    ):
												lowercase   =				populate_current_row(UpperCamelCase_			,	UpperCamelCase_    )
												triangle.append(UpperCamelCase_    )
						return triangle







def   SCREAMING_SNAKE_CASE					(					lowercase_     :   Optional[Any]			,	lowercase_     :   Union[str, Any]    ):
						lowercase   =				[-1] * (current_row_idx + 1)
						# first and last elements of current row are equal to 1
						lowercase  , lowercase   =				1, 1
						for current_col_idx in range(1			,	UpperCamelCase_    ):
												calculate_current_element(
												    UpperCamelCase_			,	UpperCamelCase_			,	UpperCamelCase_			,	UpperCamelCase_    )
						return current_row







def   SCREAMING_SNAKE_CASE					(					lowercase_     :   Dict			,	lowercase_     :   List[str]			,	lowercase_     :   str			,	lowercase_     :   Optional[Any]			,	):
						lowercase   =				triangle[current_row_idx - 1][current_col_idx - 1]
						lowercase   =				triangle[current_row_idx - 1][current_col_idx]
						lowercase   =				above_to_left_elt + above_to_right_elt







def   SCREAMING_SNAKE_CASE					(					lowercase_     :   str    ):

						if not isinstance(UpperCamelCase_			,	UpperCamelCase_    ):
												raise TypeError("""The input value of 'num_rows' should be 'int'"""    )

						if num_rows == 0:
												return []
						elif num_rows < 0:
												raise ValueError(
												    """The input value of 'num_rows' should be greater than or equal to 0"""    )

						lowercase   =				[[1]]

						for row_index in range(1			,	UpperCamelCase_    ):
												lowercase   =				[0] + result[-1] + [0]
												lowercase   =				row_index + 1
												# Calculate the number of distinct elements in a row
												lowercase   =				sum(divmod(UpperCamelCase_			,	2    )    )
												lowercase   =				[
												    temp_row[i - 1] + temp_row[i] for i in range(1			,	distinct_elements + 1    )
												]
												lowercase   =				row_first_half[: (row_index + 1) // 2]
												row_second_half.reverse()
												lowercase   =				row_first_half + row_second_half
												result.append(UpperCamelCase_    )

						return result







def   SCREAMING_SNAKE_CASE					(					):
						from collections.abc import Callable
						from timeit import timeit

						def benchmark_a_function(lowercase_     :   int			,	lowercase_     :   Dict    ) -> None:
												lowercase   =				F"""{func.__name__}({value})"""
												lowercase   =				timeit(F"""__main__.{call}"""			,	setup="""import __main__"""    )
												# print(f"{call:38} = {func(value)} -- {timing:.4f} seconds")
												print(F"""{call:38} -- {timing:.4f} seconds"""    )

						for value in range(15    ):  # (1, 7, 14):
												for func in (generate_pascal_triangle, generate_pascal_triangle_optimized):
																		benchmark_a_function(UpperCamelCase_			,	UpperCamelCase_    )
												print()


if __name__ == "__main__":
						import doctest

						doctest.testmod()
						benchmark()



import unittest

from diffusers import FlaxAutoencoderKL
from diffusers.utils import is_flax_available
from diffusers.utils.testing_utils import require_flax

from .test_modeling_common_flax import FlaxModelTesterMixin


if is_flax_available():
     import jax
@require_flax
class SCREAMING_SNAKE_CASE_		(      __lowerCAmelCase  ,     unittest.TestCase		):
   __lowerCAmelCase           =				FlaxAutoencoderKL







   @property
   def 						lowerCamelCase_	(     self						:						Tuple				):





    """simple docstring"""


    UpperCamelCase			  =      4
    UpperCamelCase			  =      3
    UpperCamelCase			  =      (32, 32)

    UpperCamelCase			  =      jax.random.PRNGKey(0				)
    UpperCamelCase			  =      jax.random.uniform(lowerCamelCase_   ,   ((batch_size, num_channels) + sizes)				)

    return {"sample": image, "prng_key": prng_key}







   def 						lowerCamelCase_	(     self						:						str				):





    """simple docstring"""


    UpperCamelCase			  =      {
        """block_out_channels""": [32, 64],
        """in_channels""": 3,
        """out_channels""": 3,
        """down_block_types""": ["""DownEncoderBlock2D""", """DownEncoderBlock2D"""],
        """up_block_types""": ["""UpDecoderBlock2D""", """UpDecoderBlock2D"""],
        """latent_channels""": 4,
    }
    UpperCamelCase			  =      self.dummy_input
    return init_dict, inputs_dict
